#
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from __future__ import annotations
from datetime import datetime
from airflow.providers.amazon.aws.operators.redshift_cluster import (
RedshiftCreateClusterOperator,
RedshiftCreateClusterSnapshotOperator,
RedshiftDeleteClusterOperator,
RedshiftDeleteClusterSnapshotOperator,
RedshiftPauseClusterOperator,
RedshiftResumeClusterOperator,
)
from airflow.providers.amazon.aws.operators.redshift_data import RedshiftDataOperator
from airflow.providers.amazon.aws.sensors.redshift_cluster import RedshiftClusterSensor
from airflow.providers.common.compat.sdk import DAG, chain
try:
from airflow.sdk import TriggerRule
except ImportError:
# Compatibility for Airflow < 3.1
from airflow.utils.trigger_rule import TriggerRule # type: ignore[no-redef,attr-defined]
from system.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder
DAG_ID = "example_redshift"
# Externally fetched variables:
SECURITY_GROUP_KEY = "SECURITY_GROUP"
CLUSTER_SUBNET_GROUP_KEY = "CLUSTER_SUBNET_GROUP"
sys_test_context_task = (
SystemTestContextBuilder().add_variable(SECURITY_GROUP_KEY).add_variable(CLUSTER_SUBNET_GROUP_KEY).build()
)
DB_LOGIN = "adminuser"
DB_PASS = "MyAmazonPassword1"
DB_NAME = "dev"
POLL_INTERVAL = 10
with DAG(
dag_id=DAG_ID,
start_date=datetime(2021, 1, 1),
schedule="@once",
catchup=False,
) as dag:
test_context = sys_test_context_task()
env_id = test_context[ENV_ID_KEY]
security_group_id = test_context[SECURITY_GROUP_KEY]
cluster_subnet_group_name = test_context[CLUSTER_SUBNET_GROUP_KEY]
redshift_cluster_identifier = f"{env_id}-redshift-cluster"
redshift_cluster_snapshot_identifier = f"{env_id}-snapshot"
sg_name = f"{env_id}-sg"
# [START howto_operator_redshift_cluster]
create_cluster = RedshiftCreateClusterOperator(
task_id="create_cluster",
cluster_identifier=redshift_cluster_identifier,
vpc_security_group_ids=[security_group_id],
cluster_subnet_group_name=cluster_subnet_group_name,
publicly_accessible=False,
cluster_type="single-node",
node_type="ra3.large",
master_username=DB_LOGIN,
master_user_password=DB_PASS,
)
# [END howto_operator_redshift_cluster]
# [START howto_sensor_redshift_cluster]
wait_cluster_available = RedshiftClusterSensor(
task_id="wait_cluster_available",
cluster_identifier=redshift_cluster_identifier,
target_status="available",
poke_interval=15,
timeout=60 * 30,
)
# [END howto_sensor_redshift_cluster]
# [START howto_operator_redshift_create_cluster_snapshot]
create_cluster_snapshot = RedshiftCreateClusterSnapshotOperator(
task_id="create_cluster_snapshot",
cluster_identifier=redshift_cluster_identifier,
snapshot_identifier=redshift_cluster_snapshot_identifier,
poll_interval=30,
max_attempt=100,
retention_period=1,
wait_for_completion=True,
)
# [END howto_operator_redshift_create_cluster_snapshot]
wait_cluster_available_before_pause = RedshiftClusterSensor(
task_id="wait_cluster_available_before_pause",
cluster_identifier=redshift_cluster_identifier,
target_status="available",
poke_interval=15,
timeout=60 * 30,
)
# [START howto_operator_redshift_pause_cluster]
pause_cluster = RedshiftPauseClusterOperator(
task_id="pause_cluster",
cluster_identifier=redshift_cluster_identifier,
)
# [END howto_operator_redshift_pause_cluster]
wait_cluster_paused = RedshiftClusterSensor(
task_id="wait_cluster_paused",
cluster_identifier=redshift_cluster_identifier,
target_status="paused",
poke_interval=30,
timeout=60 * 30,
)
# [START howto_operator_redshift_resume_cluster]
resume_cluster = RedshiftResumeClusterOperator(
task_id="resume_cluster",
cluster_identifier=redshift_cluster_identifier,
)
# [END howto_operator_redshift_resume_cluster]
wait_cluster_available_after_resume = RedshiftClusterSensor(
task_id="wait_cluster_available_after_resume",
cluster_identifier=redshift_cluster_identifier,
target_status="available",
poke_interval=30,
timeout=60 * 30,
)
# [START howto_operator_redshift_data]
create_table_redshift_data = RedshiftDataOperator(
task_id="create_table_redshift_data",
cluster_identifier=redshift_cluster_identifier,
database=DB_NAME,
db_user=DB_LOGIN,
sql=[
"""
CREATE TABLE IF NOT EXISTS fruit (
fruit_id INTEGER,
name VARCHAR NOT NULL,
color VARCHAR NOT NULL
);
"""
],
poll_interval=POLL_INTERVAL,
wait_for_completion=True,
)
# [END howto_operator_redshift_data]
insert_data = RedshiftDataOperator(
task_id="insert_data",
cluster_identifier=redshift_cluster_identifier,
database=DB_NAME,
db_user=DB_LOGIN,
sql=[
"INSERT INTO fruit VALUES ( 1, 'Banana', 'Yellow');",
"INSERT INTO fruit VALUES ( 2, 'Apple', 'Red');",
"INSERT INTO fruit VALUES ( 3, 'Lemon', 'Yellow');",
"INSERT INTO fruit VALUES ( 4, 'Grape', 'Purple');",
"INSERT INTO fruit VALUES ( 5, 'Pear', 'Green');",
"INSERT INTO fruit VALUES ( 6, 'Strawberry', 'Red');",
],
poll_interval=POLL_INTERVAL,
wait_for_completion=True,
)
# [START howto_operator_redshift_data_session_reuse]
create_tmp_table_data_api = RedshiftDataOperator(
task_id="create_tmp_table_data_api",
cluster_identifier=redshift_cluster_identifier,
database=DB_NAME,
db_user=DB_LOGIN,
sql=[
"""
CREATE TEMPORARY TABLE tmp_people (
id INTEGER,
first_name VARCHAR(100),
age INTEGER
);
"""
],
poll_interval=POLL_INTERVAL,
wait_for_completion=True,
session_keep_alive_seconds=600,
)
insert_data_reuse_session = RedshiftDataOperator(
task_id="insert_data_reuse_session",
sql=[
"INSERT INTO tmp_people VALUES ( 1, 'Bob', 30);",
"INSERT INTO tmp_people VALUES ( 2, 'Alice', 35);",
"INSERT INTO tmp_people VALUES ( 3, 'Charlie', 40);",
],
poll_interval=POLL_INTERVAL,
wait_for_completion=True,
session_id="{{ task_instance.xcom_pull(task_ids='create_tmp_table_data_api', key='session_id') }}",
)
# [END howto_operator_redshift_data_session_reuse]
# [START howto_operator_redshift_delete_cluster]
delete_cluster = RedshiftDeleteClusterOperator(
task_id="delete_cluster",
cluster_identifier=redshift_cluster_identifier,
)
# [END howto_operator_redshift_delete_cluster]
delete_cluster.trigger_rule = TriggerRule.ALL_DONE
delete_cluster.max_attempts = 50
# [START howto_operator_redshift_delete_cluster_snapshot]
delete_cluster_snapshot = RedshiftDeleteClusterSnapshotOperator(
task_id="delete_cluster_snapshot",
cluster_identifier=redshift_cluster_identifier,
snapshot_identifier=redshift_cluster_snapshot_identifier,
)
# [END howto_operator_redshift_delete_cluster_snapshot]
chain(
# TEST SETUP
test_context,
# TEST BODY
create_cluster,
wait_cluster_available,
create_cluster_snapshot,
wait_cluster_available_before_pause,
pause_cluster,
wait_cluster_paused,
resume_cluster,
wait_cluster_available_after_resume,
create_table_redshift_data,
insert_data,
delete_cluster_snapshot,
delete_cluster,
)
# Test session reuse in parallel
chain(
wait_cluster_available_after_resume,
create_tmp_table_data_api,
insert_data_reuse_session,
delete_cluster_snapshot,
)
from tests_common.test_utils.watcher import watcher
# This test needs watcher in order to properly mark success/failure
# when "tearDown" task with trigger rule is part of the DAG
list(dag.tasks) >> watcher()
from tests_common.test_utils.system_tests import get_test_run # noqa: E402
# Needed to run the example DAG with pytest (see: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)